메뉴 건너뛰기




Volumn 62, Issue , 2015, Pages 98-105

Novel parameter estimation of autoregressive signals in the presence of noise

Author keywords

Autoregressive signal; Newton algorithm; Noisy observations; Unbiased parameter estimate

Indexed keywords

ITERATIVE METHODS; NONLINEAR EQUATIONS; SIGNAL ANALYSIS; WHITE NOISE;

EID: 84947813849     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2015.09.008     Document Type: Conference Paper
Times cited : (23)

References (37)
  • 1
    • 0031999199 scopus 로고
    • A subspace approach to estimation of autoregressive parameters from noisy measurements
    • C.E. Davila A subspace approach to estimation of autoregressive parameters from noisy measurements IEEE Transactions on Signal Processing 46 2 1988 531 534
    • (1988) IEEE Transactions on Signal Processing , vol.46 , Issue.2 , pp. 531-534
    • Davila, C.E.1
  • 2
    • 84875381260 scopus 로고    scopus 로고
    • Coupled-least-squares identification for multivariable systems
    • F. Ding Coupled-least-squares identification for multivariable systems IET Control Theory & Applications 7 1 2013 68 79
    • (2013) IET Control Theory & Applications , vol.7 , Issue.1 , pp. 68-79
    • Ding, F.1
  • 3
    • 84887623184 scopus 로고    scopus 로고
    • Combined state and least squares parameter estimation algorithms for dynamic systems
    • F. Ding Combined state and least squares parameter estimation algorithms for dynamic systems Applied Mathematical Modelling 38 1 2014 403 412
    • (2014) Applied Mathematical Modelling , vol.38 , Issue.1 , pp. 403-412
    • Ding, F.1
  • 4
    • 84898620668 scopus 로고    scopus 로고
    • State filtering and parameter estimation for state space systems with scarce measurements
    • F. Ding State filtering and parameter estimation for state space systems with scarce measurements Signal Processing 104 2014 369 380
    • (2014) Signal Processing , vol.104 , pp. 369-380
    • Ding, F.1
  • 5
    • 33646857021 scopus 로고    scopus 로고
    • Bias compensation based recursive least squares identification algorithm for MISO systems
    • F. Ding, T. Chen, and L. Qiu Bias compensation based recursive least squares identification algorithm for MISO systems IEEE Transactions on Circuits and Systems II: Express Briefs 53 5 2006 349 353
    • (2006) IEEE Transactions on Circuits and Systems II: Express Briefs , vol.53 , Issue.5 , pp. 349-353
    • Ding, F.1    Chen, T.2    Qiu, L.3
  • 6
    • 80755182664 scopus 로고    scopus 로고
    • Bias compensation based parameter estimation for output error moving average systems
    • J. Ding, and F. Ding Bias compensation based parameter estimation for output error moving average systems International Journal of Adaptive Control and Signal Processing 25 12 2011 1100 1111
    • (2011) International Journal of Adaptive Control and Signal Processing , vol.25 , Issue.12 , pp. 1100-1111
    • Ding, J.1    Ding, F.2
  • 7
    • 84880147252 scopus 로고    scopus 로고
    • Two-stage parameter estimation algorithms for Box-Jenkins systems
    • F. Ding, and H.H. Duan Two-stage parameter estimation algorithms for Box-Jenkins systems IET Signal Processing 7 8 2013 646 654
    • (2013) IET Signal Processing , vol.7 , Issue.8 , pp. 646-654
    • Ding, F.1    Duan, H.H.2
  • 8
    • 79960912040 scopus 로고    scopus 로고
    • Parameter estimation with scarce measurements
    • F. Ding, G. Liu, and X.P. Liu Parameter estimation with scarce measurements Automatica 47 8 2011 1646 1655
    • (2011) Automatica , vol.47 , Issue.8 , pp. 1646-1655
    • Ding, F.1    Liu, G.2    Liu, X.P.3
  • 9
    • 84883760902 scopus 로고    scopus 로고
    • Newton iterative identification for a class of output nonlinear systems with moving average noises
    • F. Ding, J.X. Ma, and Y.S. Xiao Newton iterative identification for a class of output nonlinear systems with moving average noises Nonlinear Dynamics 74 1 2013 21 30
    • (2013) Nonlinear Dynamics , vol.74 , Issue.1 , pp. 21-30
    • Ding, F.1    Ma, J.X.2    Xiao, Y.S.3
  • 10
    • 70350488506 scopus 로고    scopus 로고
    • Noisy FIR identification as a quadratic eigenvalue problem
    • R. Diversi Noisy FIR identification as a quadratic eigenvalue problem IEEE Transactions on Signal Processing 57 11 2009 4563 4567
    • (2009) IEEE Transactions on Signal Processing , vol.57 , Issue.11 , pp. 4563-4567
    • Diversi, R.1
  • 12
    • 0038291767 scopus 로고    scopus 로고
    • Identification of noisy AR systems using damped sinusoidal model of autocorrelation function
    • M.K. Hasan, S.A. Fattah, and M.R. Khan Identification of noisy AR systems using damped sinusoidal model of autocorrelation function IEEE Signal Processing Letters 10 6 2003 157 160
    • (2003) IEEE Signal Processing Letters , vol.10 , Issue.6 , pp. 157-160
    • Hasan, M.K.1    Fattah, S.A.2    Khan, M.R.3
  • 14
    • 79952606851 scopus 로고    scopus 로고
    • A unified framework for bias compensation based methods in correlated noise case
    • L. Jia, R. Tao, S. Kanae, Z.J. Yang, and K. Wada A unified framework for bias compensation based methods in correlated noise case IEEE Transactions on Automatic Control 56 3 2003 625 629
    • (2003) IEEE Transactions on Automatic Control , vol.56 , Issue.3 , pp. 625-629
    • Jia, L.1    Tao, R.2    Kanae, S.3    Yang, Z.J.4    Wada, K.5
  • 16
    • 33745698076 scopus 로고    scopus 로고
    • Consistent estimation of autoregressive parameters from noisy observations based on two interacting Kalman filter
    • D. Labarre, E. Grivel, Y. Berthoumieu, E. Todini, and M. Najim Consistent estimation of autoregressive parameters from noisy observations based on two interacting Kalman filter Signal Processing 86 10 2006 2863 2876
    • (2006) Signal Processing , vol.86 , Issue.10 , pp. 2863-2876
    • Labarre, D.1    Grivel, E.2    Berthoumieu, Y.3    Todini, E.4    Najim, M.5
  • 17
    • 84895924313 scopus 로고    scopus 로고
    • An efficient hierarchical identification method for general dual-rate sampled-data systems
    • Y. Liu, F. Ding, and Y. Shi An efficient hierarchical identification method for general dual-rate sampled-data systems Automatica 50 3 2014 962 970
    • (2014) Automatica , vol.50 , Issue.3 , pp. 962-970
    • Liu, Y.1    Ding, F.2    Shi, Y.3
  • 18
    • 69249215150 scopus 로고    scopus 로고
    • Parameter estimation of autoregressive signals from observations corrupted with colored noise
    • A. Mahmoudi, and M. Karimi Parameter estimation of autoregressive signals from observations corrupted with colored noise Signal Processing 90 1 2010 157 164
    • (2010) Signal Processing , vol.90 , Issue.1 , pp. 157-164
    • Mahmoudi, A.1    Karimi, M.2
  • 19
    • 79952025037 scopus 로고    scopus 로고
    • Inverse filtering based method for estimation of noisy autoregressive signals
    • A. Mahmoudi, and M. Karimi Inverse filtering based method for estimation of noisy autoregressive signals Signal Processing 91 7 2011 1659 1664
    • (2011) Signal Processing , vol.91 , Issue.7 , pp. 1659-1664
    • Mahmoudi, A.1    Karimi, M.2
  • 20
    • 77951122217 scopus 로고    scopus 로고
    • Parameter consistency and quadratically constrained errors-in-variables least-squares identification
    • H.J. Palanthandalam-Madapusia, T.H. Van Peltb, and D.S. Bernstein Parameter consistency and quadratically constrained errors-in-variables least-squares identification International Journal of Control 83 4 2010 862 877
    • (2010) International Journal of Control , vol.83 , Issue.4 , pp. 862-877
    • Palanthandalam-Madapusia, H.J.1    Van Peltb, T.H.2    Bernstein, D.S.3
  • 21
    • 0024134238 scopus 로고
    • A noise-compensated long correlation matching method for AR spectral estimation of noisy signals
    • K.K. Paliwal A noise-compensated long correlation matching method for AR spectral estimation of noisy signals Signal Processing 15 4 1988 437 440
    • (1988) Signal Processing , vol.15 , Issue.4 , pp. 437-440
    • Paliwal, K.K.1
  • 22
    • 34447122530 scopus 로고    scopus 로고
    • Accuracy analysis of the Frisch scheme for identifying errors-in-variables systems
    • T. Söderström Accuracy analysis of the Frisch scheme for identifying errors-in-variables systems IEEE Transactions on Automatic Control 52 7 2007 985 997
    • (2007) IEEE Transactions on Automatic Control , vol.52 , Issue.7 , pp. 985-997
    • Söderström, T.1
  • 23
    • 79960896426 scopus 로고    scopus 로고
    • A generalized instrumental variable estimation method for errors-in-variables identification problem
    • T. Söderström A generalized instrumental variable estimation method for errors-in-variables identification problem Automatica 47 11 2011 1656 1666
    • (2011) Automatica , vol.47 , Issue.11 , pp. 1656-1666
    • Söderström, T.1
  • 24
    • 84875228356 scopus 로고    scopus 로고
    • Comparing some classes of bias-compensating least squares methods
    • T. Söderström Comparing some classes of bias-compensating least squares methods Automatica 49 3 2013 840 845
    • (2013) Automatica , vol.49 , Issue.3 , pp. 840-845
    • Söderström, T.1
  • 25
    • 68149163574 scopus 로고    scopus 로고
    • A covariance matching approach for identifying errors-in-variables systems
    • T. Söderström, M. Mossbergb, and M. Hong A covariance matching approach for identifying errors-in-variables systems Automatica 45 9 2009 2018 2031
    • (2009) Automatica , vol.45 , Issue.9 , pp. 2018-2031
    • Söderström, T.1    Mossbergb, M.2    Hong, M.3
  • 26
    • 0036680579 scopus 로고    scopus 로고
    • Perspectives on errors-in-variables estimation for dynamic systems
    • T. Söderström, U. Soverini, and K. Mahata Perspectives on errors-in-variables estimation for dynamic systems Signal Processing 82 8 2002 1139 1154
    • (2002) Signal Processing , vol.82 , Issue.8 , pp. 1139-1154
    • Söderström, T.1    Soverini, U.2    Mahata, K.3
  • 27
    • 0016535050 scopus 로고
    • Autoregressive model fitting with noisy data by Akaike's information criterion
    • H. Tong Autoregressive model fitting with noisy data by Akaike's information criterion IEEE Transactions on Information Theory 21 4 1975 476 480
    • (1975) IEEE Transactions on Information Theory , vol.21 , Issue.4 , pp. 476-480
    • Tong, H.1
  • 31
    • 39549089137 scopus 로고    scopus 로고
    • A generalized least absolute deviation method for parameter estimation of autoregressive signals
    • Y.S. Xia, and M.S. Kamel A generalized least absolute deviation method for parameter estimation of autoregressive signals IEEE Transactions on Neural Networks 19 1 2006 107 118
    • (2006) IEEE Transactions on Neural Networks , vol.19 , Issue.1 , pp. 107-118
    • Xia, Y.S.1    Kamel, M.S.2
  • 32
    • 76849091485 scopus 로고    scopus 로고
    • A fast algorithm for AR parameter estimation using a novel noise-constrained least squares method
    • Y.S. Xia, M.S. Kamel, and L. Henry A fast algorithm for AR parameter estimation using a novel noise-constrained least squares method Neural Networks 33 3 2010 396 405
    • (2010) Neural Networks , vol.33 , Issue.3 , pp. 396-405
    • Xia, Y.S.1    Kamel, M.S.2    Henry, L.3
  • 33
    • 79951948686 scopus 로고    scopus 로고
    • Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods
    • Y. Zhang Unbiased identification of a class of multi-input single-output systems with correlated disturbances using bias compensation methods Mathematical and Computer Modelling 53 9 2011 1810 1819
    • (2011) Mathematical and Computer Modelling , vol.53 , Issue.9 , pp. 1810-1819
    • Zhang, Y.1
  • 34
    • 78650265249 scopus 로고    scopus 로고
    • Bias compensation methods for stochastic systems with colored noise
    • Y. Zhang, and G.M. Cui Bias compensation methods for stochastic systems with colored noise Applied Mathematical Modelling 35 4 2011 1709 1716
    • (2011) Applied Mathematical Modelling , vol.35 , Issue.4 , pp. 1709-1716
    • Zhang, Y.1    Cui, G.M.2
  • 36
    • 0033707679 scopus 로고    scopus 로고
    • Estimation of the parameter of autoregressive signals from colored noise-corrupted measurements
    • W.X. Zheng Estimation of the parameter of autoregressive signals from colored noise-corrupted measurements IEEE Signal Processing Letters 7 7 2000 201 204
    • (2000) IEEE Signal Processing Letters , vol.7 , Issue.7 , pp. 201-204
    • Zheng, W.X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.